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Ajouter au panierEtat : Fine. Used book that is in almost brand-new condition.
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Ajouter au panierEtat : Like New. Ships SAME or NEXT business day. We Ship to APO/FPO addr. Choose EXPEDITED shipping and receive in 2-5 business days within the United States. See our member profile for customer support contact info. We have an easy return policy.
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Ajouter au panierpaperback. Etat : New. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
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Ajouter au panierEtat : good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 46,56
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Ajouter au panierEtat : As New. Unread book in perfect condition.
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Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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Ajouter au panierEtat : good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
Vendeur : WeBuyBooks, Rossendale, LANCS, Royaume-Uni
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Ajouter au panierEtat : Very Good. Most items will be dispatched the same or the next working day. A copy that has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 77,55
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 82,49
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Ajouter au panierEtat : New.
Langue: anglais
Edité par Engineering Science Reference, 2020
ISBN 10 : 1799827682 ISBN 13 : 9781799827689
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 104,44
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Ajouter au panierEtat : New.
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
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Ajouter au panierHardcover. Etat : new. Hardcover. With the development of computing technologies in today's modernized world, software packages have become easily accessible. Open source software, specifically, is a popular method for solving certain issues in the field of computer science. One key challenge is analyzing big data due to the high amounts that organizations are processing. Researchers and professionals need research on the foundations of open source software programs and how they can successfully analyze statistical data.Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities provides emerging research exploring the theoretical and practical aspects of cost-free software possibilities for applications within data analysis and statistics with a specific focus on R and Python. Featuring coverage on a broad range of topics such as cluster analysis, time series forecasting, and machine learning, this book is ideally designed for researchers, developers, practitioners, engineers, academicians, scholars, and students who want to more fully understand in a brief and concise format the realm and technologies of open source software for big data and how it has been used to solve large-scale research problems in a multitude of disciplines. Presents research exploring the theoretical and practical aspects of cost-free software possibilities for applications within data analysis and statistics with a specific focus on R and Python. The book features coverage on a broad range of topics, including cluster analysis, time series forecasting, and machine learning. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Langue: anglais
Edité par Engineering Science Reference, 2020
ISBN 10 : 1799827682 ISBN 13 : 9781799827689
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 98,09
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Ajouter au panierEtat : New. In.
Langue: anglais
Edité par Business Science Reference 2020-02-28, 2020
ISBN 10 : 1799827682 ISBN 13 : 9781799827689
Vendeur : Chiron Media, Wallingford, Royaume-Uni
EUR 98,21
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Ajouter au panierHardcover. Etat : New.
Langue: anglais
Edité par Engineering Science Reference, 2020
ISBN 10 : 1799827682 ISBN 13 : 9781799827689
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 111,20
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Langue: anglais
Edité par Engineering Science Reference, 2020
ISBN 10 : 1799827682 ISBN 13 : 9781799827689
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 99,26
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Ajouter au panierEtat : New.
Vendeur : Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlande
EUR 111,25
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Ajouter au panierEtat : New. 2020. Hardcover. . . . . .
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
EUR 113,11
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Ajouter au panierHardback. Etat : New. New copy - Usually dispatched within 3 working days.
Langue: anglais
Edité par Engineering Science Reference, 2020
ISBN 10 : 1799827682 ISBN 13 : 9781799827689
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 112,61
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
Edition originale
EUR 143,98
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Ajouter au panierHardback. Etat : New. 1st. With the development of computing technologies in today's modernized world, software packages have become easily accessible. Open source software, specifically, is a popular method for solving certain issues in the field of computer science. One key challenge is analyzing big data due to the high amounts that organizations are processing. Researchers and professionals need research on the foundations of open source software programs and how they can successfully analyze statistical data.Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities provides emerging research exploring the theoretical and practical aspects of cost-free software possibilities for applications within data analysis and statistics with a specific focus on R and Python. Featuring coverage on a broad range of topics such as cluster analysis, time series forecasting, and machine learning, this book is ideally designed for researchers, developers, practitioners, engineers, academicians, scholars, and students who want to more fully understand in a brief and concise format the realm and technologies of open source software for big data and how it has been used to solve large-scale research problems in a multitude of disciplines.
Vendeur : Kennys Bookstore, Olney, MD, Etats-Unis
EUR 136,63
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Ajouter au panierEtat : New. 2020. Hardcover. . . . . . Books ship from the US and Ireland.
Vendeur : AussieBookSeller, Truganina, VIC, Australie
EUR 122,60
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Ajouter au panierHardcover. Etat : new. Hardcover. With the development of computing technologies in today's modernized world, software packages have become easily accessible. Open source software, specifically, is a popular method for solving certain issues in the field of computer science. One key challenge is analyzing big data due to the high amounts that organizations are processing. Researchers and professionals need research on the foundations of open source software programs and how they can successfully analyze statistical data.Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities provides emerging research exploring the theoretical and practical aspects of cost-free software possibilities for applications within data analysis and statistics with a specific focus on R and Python. Featuring coverage on a broad range of topics such as cluster analysis, time series forecasting, and machine learning, this book is ideally designed for researchers, developers, practitioners, engineers, academicians, scholars, and students who want to more fully understand in a brief and concise format the realm and technologies of open source software for big data and how it has been used to solve large-scale research problems in a multitude of disciplines. Presents research exploring the theoretical and practical aspects of cost-free software possibilities for applications within data analysis and statistics with a specific focus on R and Python. The book features coverage on a broad range of topics, including cluster analysis, time series forecasting, and machine learning. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Langue: anglais
Edité par Engineering Science Reference, 2020
ISBN 10 : 1799827682 ISBN 13 : 9781799827689
Vendeur : moluna, Greven, Allemagne
EUR 105,45
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Ajouter au panierEtat : New. Presents research exploring the theoretical and practical aspects of cost-free software possibilities for applications within data analysis and statistics with a specific focus on R and Python. The book features coverage on a broad range of topics, includin.
Vendeur : Buchpark, Trebbin, Allemagne
EUR 49,63
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Ajouter au panierEtat : Sehr gut. Zustand: Sehr gut | Seiten: 352 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
Langue: anglais
Edité par Engineering Science Reference, 2020
ISBN 10 : 1799827682 ISBN 13 : 9781799827689
Vendeur : preigu, Osnabrück, Allemagne
EUR 117,10
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Ajouter au panierBuch. Etat : Neu. Open Source Software for Statistical Analysis of Big Data | Emerging Research and Opportunities | Richard S. Segall (u. a.) | Buch | Gebunden | Englisch | 2020 | Engineering Science Reference | EAN 9781799827689 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Langue: anglais
Edité par Engineering Science Reference, 2020
ISBN 10 : 1799827690 ISBN 13 : 9781799827696
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 192,76
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Ajouter au panierEtat : New.
Langue: anglais
Edité par Engineering Science Reference, 2020
ISBN 10 : 1799827690 ISBN 13 : 9781799827696
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 186
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Ajouter au panierEtat : New. In.
Langue: anglais
Edité par Engineering Science Reference, 2020
ISBN 10 : 1799827690 ISBN 13 : 9781799827696
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 187,16
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Ajouter au panierEtat : New.
Vendeur : Rarewaves.com UK, London, Royaume-Uni
Edition originale
EUR 135,35
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Ajouter au panierHardback. Etat : New. 1st. With the development of computing technologies in today's modernized world, software packages have become easily accessible. Open source software, specifically, is a popular method for solving certain issues in the field of computer science. One key challenge is analyzing big data due to the high amounts that organizations are processing. Researchers and professionals need research on the foundations of open source software programs and how they can successfully analyze statistical data.Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities provides emerging research exploring the theoretical and practical aspects of cost-free software possibilities for applications within data analysis and statistics with a specific focus on R and Python. Featuring coverage on a broad range of topics such as cluster analysis, time series forecasting, and machine learning, this book is ideally designed for researchers, developers, practitioners, engineers, academicians, scholars, and students who want to more fully understand in a brief and concise format the realm and technologies of open source software for big data and how it has been used to solve large-scale research problems in a multitude of disciplines.
Langue: anglais
Edité par Engineering Science Reference, 2020
ISBN 10 : 1799827690 ISBN 13 : 9781799827696
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 209,91
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Ajouter au panierEtat : As New. Unread book in perfect condition.